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Job Title: Machine Learning Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: None Type…
Innovation starts from the heart. At Edwards Lifesciences, we’re dedicated to developing ground-breaking technologies with a genuine impact on patients’ lives. At the core of this commitment is our investment in…
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more…
Lead the architecture and hands-on development of AI/ML systems that automate decisions for Candy Crush Saga, scaling experimentation and personalization for hundreds of millions of players.
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and…
Senior ML engineer building and operating scalable ML infrastructure for travel ranking, recommendations, and pricing systems using Python, TensorFlow/PyTorch, and cloud-native tools.
Build ML and reinforcement-learning models that power autonomous-vehicle simulation, creating realistic road-user behaviors for training and testing self-driving policies using generative AI and RL.
Design and build AI-driven applications using LLMs, cloud AI services, and production-ready pipelines, including generative AI, deep learning, and image processing.
Design and build AI-powered applications using cloud services and generative models, managing end-to-end pipelines to ensure production-ready, scalable solutions.
Senior Computer Vision Engineer builds and improves document-processing pipelines for construction estimating software, focusing on detection, segmentation, and geometric accuracy in real-world PDFs and drawings.
Designs and optimizes GPU and system architectures to accelerate deep learning workloads, analyzing performance bottlenecks and proposing hardware/software improvements.
Lead the design and standardization of AI/ML agent systems, memory architectures, and RAG pipelines for financial document processing, setting engineering best practices across teams.
Designs, builds, and deploys AI/ML models and pipelines for scalable production systems, focusing on computer vision, NLP, and generative AI.
Develop AI/ML-powered mobile and web apps for a global media giant, integrating models for personalized content, search, and dynamic experiences while collaborating with cross-functional teams.
Research and implement visual localisation and sensor-fusion algorithms for autonomous robots using computer vision and ML, then deploy them on embedded platforms.
Lead AI/ML initiatives at JPMorgan Chase, designing and deploying agentic/GenAI solutions with LLMs and frameworks like Langchain to solve business problems in a secure, scalable environment.
Build and deploy AI/ML models to automate freight document processing at scale, using Python, PyTorch, and AWS SageMaker to extract and classify data from unstructured documents for a modern payments network.
Build and optimize ML pipelines using PySpark, Airflow, and PostgreSQL to generate alerts and integrate models into production systems.
Design and build AI-powered applications using cloud services and GenAI models, including deep learning and neural networks, while ensuring production-ready quality and collaborating with cross-functional teams.
Build and deploy generative-AI applications using Large Language Models (LLMs) on Azure OpenAI, integrating frameworks like LangChain and LlamaIndex to create scalable NLP solutions for data-driven decision making.
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